國立虎尾科技大學 |

Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence = Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence/ by John Oyekan.
Reminder of title:	Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence /
Author:	Oyekan, John.
Description:	X, 194 p. 128 illus., 75 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Robotics. -
Online resource:	https://doi.org/10.1007/978-3-319-27425-6
ISBN:	9783319274256

Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence = Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence /
Oyekan, John.

Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm IntelligenceVisualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence /[electronic resource] :by John Oyekan. - 1st ed. 2016. - X, 194 p. 128 illus., 75 illus. in color.online resource. - Biosystems & Biorobotics,142195-3562 ;. - Biosystems & Biorobotics,11.

Introduction -- Literature Review -- Investigative Process -- Developing and Implementing a Source Finding Controller -- Relationship between the Berg-Brown Model and the Keller-Segel Model -- Behaviour Based Coverage Controller -- Improvements and towards RealWorld Applications -- Conclusion.

The book discusses new algorithms capable of searching for, tracking, mapping and providing a visualization of invisible substances. It reports on the realization of a bacterium-inspired robotic controller that can be used by an agent to search for any environmental spatial function such as temperature or pollution. Using the parameters of a mathematical model, the book shows that it is possible to control the exploration, exploitation and sensitivity of the agent. This feature sets the work apart from the usual method of applying the bacterium behavior to robotic agents. The book also discusses how a computationally tractable multi-agent robotic controller was developed and used to track as well as provide a visual map of a spatio-temporal distribution of a substance. On the one hand, this book provides biologists and ecologists with a basis to perform simulations related to how individual organisms respond to spatio-temporal factors in their environment as well as predict and analyze the behavior of organisms at a population level. On the other hand, it offers robotic engineers practical and fresh insights into the development of computationally tractable algorithms for spatial exploratory and mapping robots. It also allows a more general audience to gain an understanding of the design of computational intelligence algorithms for autonomous physical systems.

ISBN: 9783319274256

Standard No.: 10.1007/978-3-319-27425-6doiSubjects--Topical Terms:

561941
Robotics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence = Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence /
LDR:03216nam a22004215i 4500 001 977260
003 DE-He213
005 20200629235311.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319274256 $9 978-3-319-27425-6
024 7 $a 10.1007/978-3-319-27425-6 $2 doi
035 $a 978-3-319-27425-6
050 4 $a TJ210.2-211.495
050 4 $a T59.5
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 629.892 $2 23
100 1 $a Oyekan, John. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1271027
245 1 0 $a Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence $h [electronic resource] : $b Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence / $c by John Oyekan.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a X, 194 p. 128 illus., 75 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Biosystems & Biorobotics, $x 2195-3562 ; $v 14
505 0 $a Introduction -- Literature Review -- Investigative Process -- Developing and Implementing a Source Finding Controller -- Relationship between the Berg-Brown Model and the Keller-Segel Model -- Behaviour Based Coverage Controller -- Improvements and towards RealWorld Applications -- Conclusion.
520 $a The book discusses new algorithms capable of searching for, tracking, mapping and providing a visualization of invisible substances. It reports on the realization of a bacterium-inspired robotic controller that can be used by an agent to search for any environmental spatial function such as temperature or pollution. Using the parameters of a mathematical model, the book shows that it is possible to control the exploration, exploitation and sensitivity of the agent. This feature sets the work apart from the usual method of applying the bacterium behavior to robotic agents. The book also discusses how a computationally tractable multi-agent robotic controller was developed and used to track as well as provide a visual map of a spatio-temporal distribution of a substance. On the one hand, this book provides biologists and ecologists with a basis to perform simulations related to how individual organisms respond to spatio-temporal factors in their environment as well as predict and analyze the behavior of organisms at a population level. On the other hand, it offers robotic engineers practical and fresh insights into the development of computationally tractable algorithms for spatial exploratory and mapping robots. It also allows a more general audience to gain an understanding of the design of computational intelligence algorithms for autonomous physical systems.
650 0 $a Robotics. $3 561941
650 0 $a Automation. $3 596698
650 0 $a Computational complexity. $3 527777
650 0 $a Environmental engineering. $3 557376
650 0 $a Biotechnology. $3 554955
650 0 $a Microbiology. $3 591510
650 0 $a Statistical physics. $3 528048
650 0 $a Dynamical systems. $3 1249739
650 1 4 $a Robotics and Automation. $3 782979
650 2 4 $a Complexity. $3 669595
650 2 4 $a Environmental Engineering/Biotechnology. $3 677817
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Statistical Physics and Dynamical Systems. $3 1114011
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319274232
776 0 8 $i Printed edition: $z 9783319274249
776 0 8 $i Printed edition: $z 9783319801391
830 0 $a Biosystems & Biorobotics, $x 2195-3562 ; $v 11 $3 1262333
856 4 0 $u https://doi.org/10.1007/978-3-319-27425-6
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)